Open-Source AI Agent Frameworks

Reef is self-hosted infrastructure for developers who want AI agents to improve through feedback on actual interactions. It connects inference and learning with versioned deployment, so an agent can update its model weights or its prompts, rules, and skills while continuing to serve requests. It's open source under Apache 2.0.

Pipecat is a Python framework for developers building conversational AI agents that handle speech, video, text, and images. You can run it on your own machine or servers, wherever Python runs. It's open source under the BSD 2-Clause license.

Sim is an AI agent workspace for teams that need to build automations and control how people use them across an organization. You can self-host it on your own server or cloud with Docker or Kubernetes. Its open-source code uses the Apache 2.0 license.

Mastra is a TypeScript framework for developers building AI agents and applications on their own servers or inside existing web apps. Its server runs locally or as a standalone deployment; Mastra Cloud provides a hosted alternative. Model routing connects to providers such as OpenAI, Anthropic, and Gemini, so running the framework locally doesn't keep those model requests on your machine.

Langflow is a visual builder for developers creating AI agents and retrieval-augmented generation (RAG) applications. You can run it locally or on your own server, with Docker support and desktop apps for Windows and macOS. The open-source software uses the MIT license. A hosted cloud offering provides a separate deployment option.

Superpowers adds a structured development process to AI coding assistants. It's for developers who want their agent to agree on a design before writing code, follow an implementation plan, and check its work against that plan. The open-source framework uses the MIT license and works inside coding tools including Claude Code, Codex, Cursor, Gemini CLI and OpenCode.

Dify is a source-available platform for teams building AI agents and apps on a visual canvas. Its Community Edition runs on your own server with Docker. Dify also offers a hosted cloud service, while Enterprise deployments can run in a VPC or on a self-hosted server. The Community Edition uses a custom Apache 2.0 derivative license.

Agno is a Python framework and runtime for developers building customer-facing or internal AI agents. You can run its agent platform locally with Docker, on your own servers or in your cloud. The open-source framework uses the Apache 2.0 license, and the platform keeps sessions, memory, knowledge and traces in your database.

RAGFlow is an Apache 2.0 licensed RAG engine for teams building AI agents that need to answer questions from their own documents. It can run on a self-hosted server through Docker on Windows, macOS or Linux. A separate hosted cloud service is available.

Activepieces brings AI agents and workflow automation into one workspace for teams that need to connect their apps and internal data. It runs on your own servers with Docker or Kubernetes, or as a managed cloud service. An isolated deployment can keep platform data on its own infrastructure; connected apps and model providers may still require external access. Its core and app integration pieces are MIT-licensed.

Pydantic AI is a Python SDK for developers building AI agents into their own applications. Its main draw is Pydantic validation across agent tools and results, so an agent can return structured data that application code can check and use. The SDK is MIT licensed.

LangGraph is a free, MIT-licensed Python framework for developers building AI agents that need to keep state and handle complex tasks. It gives teams control over how an agent moves between steps, where people can intervene, and what happens when a long-running task is interrupted.

Browser Use is an MIT licensed browser agent for developers who want AI to carry out tasks on websites. You can run the open source agent on your own machine from Python, choose a model, and use either a local or cloud browser. A CLI is available for browser tasks too.

Pi is a terminal-based coding assistant for developers who want to shape the agent around their own workflow. Its core stays small, while extensions can change its tools, commands and terminal interface. It's open source under the MIT license.

Bisheng is an open source, self-hosted platform for teams building AI applications around business documents and processes. Its visual workflow editor combines automated tasks with human feedback, including intervention during multi-turn conversations. It's suited to document review, support ticket assistance and report generation that need more control than a single chatbot exchange.

Vanna is a self-hosted Python framework for building AI agents that answer database questions in plain language. It's for teams adding chat to analytics products or internal data tools, especially when each user needs different access to the data. The project is archived and no longer maintained. Its open-source code uses the MIT license.

Self-Operating Computer lets a vision-capable AI model control a desktop by reading the screen and choosing mouse and keyboard actions to carry out a goal. It's a Python framework for developers and researchers exploring AI agents that work through application interfaces. The code uses the MIT license.

LaVague is a Python framework for developers building AI agents that carry out tasks in a web browser. An agent takes a plain-language objective, examines the current page, and generates and executes browser actions across multiple steps. It's open source under the Apache 2.0 license.

MindSearch is a self-hosted AI search framework for people who want to build their own Perplexity-style answer engine. Multiple LLM agents search and read web pages to produce answers with a visible research process. It's open source under Apache 2.0.

Rivet is a desktop visual programming environment for developers building AI agents and applications with complex LLM workflows. Its editor runs on macOS, Windows and Linux, and its TypeScript library executes the resulting graphs inside your own application. The project uses the MIT license.

Flowise is a visual builder for AI agents and chatbots that can run locally or on your own server, including through Docker. It's for developers and teams building LLM applications with connected workflow blocks. The project is archived and no longer maintained.

Wingman-AI is a self-hosted AI agent platform for work that needs ongoing context and several agents with different roles. It suits developers and teams handling research, support, or recurring operations alongside coding tasks. A lead agent can delegate work to specialized subagents, each with its own workspace and session history.

AutoGPT is an AI agent platform for teams handling recurring business work, with a hosted service and a self-hosted option. Its coordinator, Otto, assigns work to specialists for content, sales, research and operations. You can describe an outcome in plain English or talk directly to the specialist responsible for it.

AutoGen is a framework for developers building AI agents that work together or alongside people. Its agent runtime can run locally or across distributed systems, while model integrations such as OpenAI and Azure OpenAI send requests to external services. It's community-managed and in maintenance mode, with no further features or enhancements planned.

SuperAGI is a self-hosted AI agent framework for developers who want to build task automation and manage agents through a browser interface. It runs locally in Docker and can use local LLMs with a GPU. The Python project uses the MIT license, so you can modify it for your own applications.

OGX, formerly Llama Stack, is a self-hosted AI application server for developers building chat apps, document search or AI agents. It brings model inference, file storage, vector search and agent orchestration into one process. You can run it on a laptop, in a datacenter or in the cloud. It's open source under MIT.

DB-GPT is a self-hosted AI data assistant for teams analyzing business data and developers building data applications. It turns plain-language requests into SQL queries and Python analysis, then produces charts, dashboards, or HTML reports. You can run it on macOS or Linux, with Docker deployment also supported.

BotSharp is a self-hosted framework for .NET developers building AI agents into business applications. Written in C#, it runs on Windows, Linux and macOS and is open source software under Apache 2.0. Its plugin design lets teams choose their model provider, storage and interface while keeping agent coordination in the same framework.

LangChainGo is a Go implementation of LangChain for developers building LLM applications in their own software. It connects Go programs to model backends, including Ollama for local LLM use and cloud services such as OpenAI and Gemini. It's a library, so its audience is developers who want to build an application rather than use a ready-made chat interface.

Plano, formerly Arch Gateway, is a self-hosted AI gateway for developers building applications with multiple agents or model providers. It puts routing, guardrails and request tracing in a separate service, so each agent doesn't need its own implementation of that infrastructure. It's open source under Apache 2.0.

LangBot is a self-hosted AI agent platform for teams that want bots in the messaging apps their customers, coworkers or communities already use. It connects Slack, Discord, Telegram, WeChat and other chat services to models and AI workflows, with a browser dashboard for managing bots across platforms.

ChatDev is a self-hosted platform for building teams of AI agents through a visual workflow editor. It's for people who want agents to collaborate on research, data analysis or software projects without writing the orchestration code themselves. You define each agent's role and how information passes between them.

MetaGPT organizes AI agents into a software development team, with roles for product management, architecture, project management and engineering. It's a self-hosted Python framework for developers who want to generate software projects from plain-language requirements or build their own collaborative agents.

LiveKit Agents is a framework for developers building voice assistants, phone agents, and apps that combine speech with video or text. Agents join LiveKit rooms as participants, so they can interact with people through web and mobile apps or telephone calls. The Apache 2.0 project lets you run the entire stack on your own servers, including the LiveKit media server.

CAMEL is an open-source Python framework for developers and researchers building systems where AI agents work together. Its focus is on agent roles, communication, and behavior across extended tasks, with applications in synthetic training data, task automation, and simulated societies. It uses the Apache 2.0 license.

Rasa is an AI agent platform for product teams building customer-facing text and voice assistants. Teams can deploy agents on their own infrastructure and choose their models and data arrangements. Its CALM engine combines language model understanding with business flows whose code enforces rules, so an assistant can handle conversational wording while following defined processes.